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Joon S Lim

Showing results (1-10 of 8) with videos related to

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IEEE Transactions on Neural Networks|January 31, 2009
Finding features for real-time premature ventricular contraction detection using a fuzzy neural network systemJoon S Lim
Sensors (Basel, Switzerland)|November 26, 2022
Zoom-In Neural Network Deep-Learning Model for Alzheimer's Disease AssessmentsBohyun Wang, Joon S Lim
Bio-Medical Materials and Engineering|September 26, 2015
Interactive Naive Bayesian network: A new approach of constructing gene-gene interaction network for cancer classificationXue W Tian, Joon S Lim
Technology and Health Care : Official Journal of the European Society for Engineering and Medicine|May 11, 2016
A hierarchical two-phase framework for selecting genes in cancer datasets with a neuro-fuzzy systemJongwoo Lim, Bohyun Wang, Joon S Lim
Bio-Medical Materials and Engineering|September 26, 2015
Fuzzy Naive Bayesian for constructing regulated network with weightsXi Y Zhou, Xue W Tian, Joon S Lim
Sensors (Basel, Switzerland)|January 8, 2023
Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide AgentsMinwoo Kim, Jinhee Bae, Bohyun Wang, et al.
Computer Methods and Programs in Biomedicine|May 20, 2014
Classification of normal and epileptic seizure EEG signals using wavelet transform, phase-space reconstruction, and Euclidean distanceSang-Hong Lee, Joon S Lim, Jae-Kwon Kim, et al.
Journal of Alzheimer'S Disease : JAD|December 12, 2025
Deep-learning analysis of speech using mel-spectrograms for the assessment of mild cognitive impairment and Alzheimer's diseaseYun Ho Choi, Hyungjun Kim, Suhun Hong, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
IEEE Transactions on Neural Networks|January 31, 2009
Finding features for real-time premature ventricular contraction detection using a fuzzy neural network systemJoon S Lim
Sensors (Basel, Switzerland)|November 26, 2022
Zoom-In Neural Network Deep-Learning Model for Alzheimer's Disease AssessmentsBohyun Wang, Joon S Lim
Bio-Medical Materials and Engineering|September 26, 2015
Interactive Naive Bayesian network: A new approach of constructing gene-gene interaction network for cancer classificationXue W Tian, Joon S Lim
Technology and Health Care : Official Journal of the European Society for Engineering and Medicine|May 11, 2016
A hierarchical two-phase framework for selecting genes in cancer datasets with a neuro-fuzzy systemJongwoo Lim, Bohyun Wang, Joon S Lim
Bio-Medical Materials and Engineering|September 26, 2015
Fuzzy Naive Bayesian for constructing regulated network with weightsXi Y Zhou, Xue W Tian, Joon S Lim
Sensors (Basel, Switzerland)|January 8, 2023
Feature Selection Method Using Multi-Agent Reinforcement Learning Based on Guide AgentsMinwoo Kim, Jinhee Bae, Bohyun Wang, et al.
Computer Methods and Programs in Biomedicine|May 20, 2014
Classification of normal and epileptic seizure EEG signals using wavelet transform, phase-space reconstruction, and Euclidean distanceSang-Hong Lee, Joon S Lim, Jae-Kwon Kim, et al.
Journal of Alzheimer'S Disease : JAD|December 12, 2025
Deep-learning analysis of speech using mel-spectrograms for the assessment of mild cognitive impairment and Alzheimer's diseaseYun Ho Choi, Hyungjun Kim, Suhun Hong, et al.
Pageof 1